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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Li, An Wang, Shu Hu, Fu-ping |
| Copyright Year | 2008 |
| Abstract | The channel outputs are sampled on nonuniform sampling sets, and an analysis of the decorrelation based on nonuniform sampling (NUS) is investigated. It is demonstrated that MUSIC algorithm with NUS of various array elements may be capable of selecting the signal of interesting including the coherent group. NUS in the time domain is equivalent to alter the relative distance between sensors and leads to the radiant sources impinging the different arrays between two snapshots just as a virtual array spatial smoothing preprocessing. Simulations are conducted to verify that MUSIC based on nonuniformity of sensor sampling is effective to estimate direction-of-arrival (DOA) of incident signals in the coherent environment. Simultaneously, it's beneficial to greatly improve the estimation accuracy and angular resolution as a result of larger array aperture introduced but no angle-measure ambiguity and offer a better performance in lower SNR than weighted spatial smoothing (WSS) with MUSIC algorithm. |
| Starting Page | 431 |
| Ending Page | 435 |
| File Size | 383260 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780769531199 |
| DOI | 10.1109/CISP.2008.227 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-05-27 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Smoothing methods Nonuniform sampling Apertures Sampling methods Multiple signal classification Decorrelation MUSIC algorithm Direction of arrival estimation Spatial resolution Signal resolution Sensor arrays Virtual spatial smoothing |
| Content Type | Text |
| Resource Type | Article |
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